12 th International Conference on Complex Networks and Their Applications

6 Février 2023

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Catégorie : Conférence internationale

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PUBLICATION

Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome.

• ·Papers will be included in the conference proceedings edited by Springer
• ·Extended abstracts will be published in the Book of Abstracts (with ISBN)

Extended versions will be invited for publication in special issues of international journals:

• Applied Network Science edited by Springer
• Advances in Complex Systems edited by World Scientific
• Complex Systems
• Entropyedited by MDPI
• PLOS one
• Social Network Analysis and Miningedited by Springer

 

TOPICS

Topics include, but are not limited to:

• Models of Complex Networks
• Structural Network Properties and Analysis
• Complex Networks and Epidemics
• Community Structure in Networks
• Community Discovery in Complex Networks
• Motif Discovery in Complex Networks
• Network Mining
• Network embedding methods
• Machine learning with graphs
• Dynamics and Evolution Patterns of Complex Networks
• Link Prediction
• Multilayer Networks
• Network Controllability
• Synchronization in Networks
• Visual Representation of Complex Networks
• Large-scale Graph Analytics
• Social Reputation, Influence, and Trust
• Information Spreading in Social Media
• Rumour and Viral Marketing in Social Networks
• Recommendation Systems and Complex Networks
• Financial and Economic Networks
• Complex Networks and Mobility
• Biological and Technological Networks
• Mobile call Networks
• Bioinformatics and Earth Sciences Applications
• Resilience and Robustness of Complex Networks
• Complex Networks for Physical Infrastructures
• Complex Networks, Smart Cities and Smart Grids
• Political networks
• Supply chain networks
• Complex networks and information systems
• Complex networks and CPS/IoT
• Graph signal processing
• Cognitive Network Science
• Network Medicine
• Network Neuroscience
• Quantifying success through network analysis
• Temporal and spatial networks
• Historical Networks